The NCI Cancer Systems Biology Consortium (CSBC), in collaboration with Carnegie Mellon University (CMU) and Knowinnovation (KI), will be hosting an Innovation Lab on “Advancing Cancer Biology at the Frontiers of Machine Learning and Mechanistic Models” on June 1-5, 2020. Investigators with a wide variety of expertise, including, but not limited to, cancer biology, oncology, machine learning (or other artificial intelligence [AI]), cancer systems biology, or mathematical modeling are encouraged to apply.

Credit: Cancer Systems Biology Consortium

The cancer research field has benefited from both data-driven models (i.e. machine learning, deep learning) and mechanistic models (those commonly employed in systems biology). There is substantial opportunity for new algorithms and approaches that combine new ideas in AI with domain knowledge in cancer to further our understanding of disease mechanisms. Therefore, a collective effort by mathematicians, computer scientists, cancer biologists, and oncologists is necessary for building useful computational models of cancer.

During this intensive 5-day residential program, experts in cancer systems biology, mathematical modeling, machine learning, and related AI fields will come together to share ideas, form new collaborative teams, and propose and refine interdisciplinary pilot projects. The group will work to deepen their shared understanding of a designated, complex challenge and redefine the problems within the challenge to generate novel ideas for research proposals. 

Submit your application by March 20, 2020.